Jobs at Mubadala

About Us:This position is offered as a 12-month contract with the possibility of extension based on business needs and performance. Continuation beyond the initial term is not guaranteed.Mubadala Investment Corporation (MIC) is a global investor, owned by the Government of Abu Dhabi, with USD 300+ BN assets under management, five global offices and business investments in 50+ countries. We innovate and invest across the world to create lasting value for our shareholders, our partners, and future generations.Portfolio Strategy helps our Investment Committee to focus on the longer-term performance and sustainability of our portfolio.We actively monitor the overall performance of our investments, the strategy execution progress, and the impact of various global trends and macroeconomic developments.What you will do:Work with the Strategy team to strengthen our strategy systems and data flows, improve the monitoring of the portfolio with dashboards and embed AI and automation into day-to-day workflows. The two consultants will split focus across the areas below while collaborating closely.Key AccountabilitiesStrategy Systems & Transformation Assist in ensuring allocations are reported and flowing correctly Review, update, and expand pipeline and allocation dashboards; develop additional smart dashboards (e.g., Group view, strategy monitoring) for executives and investment teams Develop and support integration of new systems (e.g. DealCloud to Efront, Aladin and MSCI) and support enhancements of existing systemsAI Integration, Analytics and Automation Identify and prioritize AI/automation opportunities across strategy workflows and processes (e.g. portfolio construct, pipeline, allocation and portfolio monitoring and reporting) Optimize, automate, and document existing quantitative frameworks portfolio construction, and performance analytics to enhance consistency, efficiency, and scalability Build and deploy AI agents to support delivery of core research and investment strategy activities and generate greater insights Design, build, and maintain robust analytical models and code libraries (primarily in Python) to support investment research, portfolio management, and strategic analysis Build and maintain back testing and simulation frameworks to evaluate strategies, risk exposures, and investment scenarios under varying market conditions Collaborate with data vendors and internal stakeholders to source and structure alternative or proprietary datasetsMost importantly you will have passion for contributing to Mubadala’s mission and growing a leading global investment company.What will you bring: 5–10 years in business/portfolio analytics, AI adoption and system integration, supporting investment managers or asset management institutions, or top-tier consulting/technology roles Solid understanding of private markets and investment life cycle across public and private asset classes Demonstrated experience with systems (e.g. eFront, BlackRock Aladdin) and data providers in private/public markets (e.g. Preqin, Bloomberg, S&Ps etc…) Solid understanding of financial modeling concepts (valuation, IRR, performance attribution, risk models) and illiquid asset data structures Proficiency in Python (preferred) , including data manipulation, statistical modeling, and visualization libraries (e.g., pandas, NumPy, scikit-learn, Plotly, Dash) BI expertise (e.g. Power BI, Tableau) Experience building or maintaining quantitative tools, APIs, or system integrations across financial platforms Knowledge of databases (SQL) and ETL / data integration frameworks Proven ability to manage complex data projects, document processes, and communicate technical insights to non-technical stakeholdersPreferred Attributes Experience working in or with sovereign wealth funds, asset managers, or institutional investors Knowledge of portfolio theory, asset allocation and private equity Ability to work cross-functionally with strategy, investment, and technology teams. Passion for innovation and continuous improvement in investment processes. Familiarity with AI/ML applications in finance, such as natural language processing, model optimization, or predictive analytics Knowledge of cloud-based data infrastructures (e.g., Azure, AWS) and data governance principles Experience with private market data modeling and system interoperability across multiple investment platforms Strong analytical thinking, attention to detail, and collaboration skills in cross-functional environmentsWhat we offer:A superior platform to grow your career including. A role that has social and financial impact Great working environment with talented colleagues Excellent work culture enabled by our values of Accountability, Inspiration, Integrity & PartnershipMubadala has an excellent working culture, enabled by our values of Accountability, Inspiration, Integrity & Partnership. You will operate in a diverse, energetic and forward-thinking environment with hybrid working and wellness benefits to help you grow and develop, and market leading pay and benefits.Key Indicators:Location: Abu DhabiFlexible Working: Remote working up to 5 days a month.

About Us:Mubadala Investment Corporation (MIC) is a global investor, owned by the Government of Abu Dhabi, with USD 300+ BN assets under management, five global offices and business investments in 50+ countries. We innovate and invest across the world to create lasting value for our shareholders, our partners, and future generations.MIC has recognized that the next frontier in competitive advantage will be driven by the adoption of AI and Machine Learning technologies. In response, a new AI Enablement Unit has been formed to lead the effort to define and implement an AI strategy and embed AI into the fabric of the MIC organization.The newly established AI Lab sits within the AI Enablement Unit. It is tasked with developing new and innovative AI and ML-enabled tools and solutions specifically tailored to Mubadala use cases. These solutions are designed to solve critical business problems. The team’s focus is on research and POC development, and its work leverages cutting-edge techniques in generative AI, quantitative analysis, big data processing, optimization, and image and document processing. The team is supported by large engineering teams focused on productization and deployment-at-scale.What you will do:Support the newly established AI Lab in the following areas:Work across our business and investment teams, including supporting functions, to evaluate and implement new AI / ML use cases Bring deep and generalist data science / AI / ML expertise to solve real world business problems using appropriate data-led methods in a scalable wayProvide support to investment and corporate platforms by bringing advanced analytics approaches to the investment life cycle and other supporting functionsAssist in idea generation and validation of new AI initiatives across the MIC business and corporate functions and to support the formalization of a prioritized delivery roadmapAdhere to a strong discipline of model documentation and library development to enable scalability and transferability of advanced analytics projects to other business use casesManage and mentor other MIC staff, and take primary responsibility for timely delivery of complex projects supported by both internal staff and contractorsWhat will you bring:To succeed within this role, you will bring a strong mix of practical experience, technical skills, and business skills, including the following:A technical degree in computer science, statistics, mathematics, financial engineering, or related field, advanced postgraduate degree (MSc or PhD) is advantageous10+ years of experience applying data science and AI / ML methods to deliver commercial impact, preferably within the areas of finance, investments or asset management Expertise in statistical and classical ML techniques (including, for example, tree-based methods, regression, deep learning, forecasting techniques, optimization methods, Bayesian methods, model evaluation metrics)Expertise in the latest techniques in generative AI, (including, for example, agentic workflows, RAG systems, LLM fine tuning, vector databases, optimization and deployment)Advanced coding skills, principally in Python and SQL, with more diverse coding experience (e.g. Java, C++, JavaScript, others) considered an advantage, as well as experience with coding assistantsUnderstanding of production grade engineering in AI, including familiarity with common cloud platforms (AWS, Azure), collaboration tools, and principals underpinning the design of complex, modular, scalable AI / ML servicesYou will be a team player with high standards of business ethics and a drive to deliver, innovate and improve, whilst building strong partnerships within and outside MubadalaYou will be an excellent communicator able to build relationships, communicate and influence both within the AI Enablement Unit, and the wider organizationYou will be able to orchestrate, manage and deliver projects by managing and overseeing multiple technical contributors, with an eye on deadlines and a practical results-driven mindsetMost importantly you will have passion for contributing to Mubadala’s mission and growing a leading global investment company.What we offer:A superior platform to grow your career including:Making a difference with a social and financial impactGreat working environment with talented colleaguesMarket leading pay and benefits including performance payHybrid working and wellness benefits to help you live your best work and private lifeOpportunity to grow and develop through learning and experienceExcellent work culture enabled by our values of Accountability, Inspiration, Integrity & Partnership.Mubadala has an excellent working culture, enabled by our values of Accountability, Inspiration, Integrity & Partnership. You will operate in a diverse, energetic, and forward-thinking environment with hybrid working and wellness benefits to help you grow and develop, and market leading pay and benefits.Key Indicators:Location: Abu DhabiFlexible Working: Remote working up to 5 days a month (Post probation)